Comparison of Retinex and iCAM for scene rendering

被引:6
|
作者
Moroney, N [1 ]
Tastl, I [1 ]
机构
[1] Hewlett Packard Labs, Color Imaging & Printing Technol Dept, Palo Alto, CA 94304 USA
关键词
D O I
10.1117/1.1635369
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We begin with a brief review of the basic issues and a range of algorithms related to scene rendering. Then the results of an initial comparison of the McCann99 Retinex and iCAM algorithms for use in rendering three high dynamic range gray-scale images are reported. The images are also rendered using an image-specific manual tone curve. Ten observers performed a rank ordering of the printed renderings, and then mean rankings were computed. The results varied by image, with iCAM being most preferred for one of the images, McCann99 Retinex being most preferred for one of the images, and a tie for all three renderings for the third image. Five relative qualitative trends in the results are also described. (C) 2004 American Institute of Physics.
引用
收藏
页码:139 / 145
页数:7
相关论文
共 50 条
  • [1] NATURAL RENDERING OF COLOR IMAGE BASED ON RETINEX
    Chen, Shaohua
    Beghdadi, Azeddine
    [J]. 2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 1813 - 1816
  • [2] Neural scene representation and rendering
    Eslami, S. M. Ali
    Rezende, Danilo Jimenez
    Besse, Frederic
    Viola, Fabio
    Morcos, Ari S.
    Garnelo, Marta
    Ruderman, Avraham
    Rusu, Andrei A.
    Danihelka, Ivo
    Gregor, Karol
    Reichert, David P.
    Buesing, Lars
    Weber, Theophane
    Vinyals, Oriol
    Rosenbaum, Dan
    Rabinowitz, Neil
    King, Helen
    Hillier, Chloe
    Botvinick, Matt
    Wierstra, Daan
    Kavukcuoglu, Koray
    Hassabis, Demis
    [J]. SCIENCE, 2018, 360 (6394) : 1204 - +
  • [3] Realistic Rendering of Fire Scene
    Ren Hong-xiang
    Jin Yi-cheng
    Chen Li-ning
    [J]. 2009 11TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS, PROCEEDINGS, 2009, : 519 - 523
  • [4] Neural Scene Graph Rendering
    Granskog, Jonathan
    Schnabel, Till N.
    Rousselle, Fabrice
    Novak, Jan
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2021, 40 (04):
  • [5] Improving the Retinex algorithm for rendering wide dynamic range photographs
    Sobol, R
    [J]. HUMAN VISION AND ELECTRONIC IMAGING VII, 2002, 4662 : 341 - 348
  • [6] Improving the Retinex algorithm for rendering wide dynamic range photographs
    Sobol, R
    [J]. JOURNAL OF ELECTRONIC IMAGING, 2004, 13 (01) : 65 - 74
  • [7] Enhanced Backgrounds in Scene Rendering with GTSIMS
    Prussing, Keith F.
    Pierson, Oliver
    Cordell, Chris
    Stewart, John
    Nielson, Kevin
    [J]. INFRARED IMAGING SYSTEMS: DESIGN, ANALYSIS, MODELING, AND TESTING XXIX, 2018, 10625
  • [8] On the compression of image based rendering scene
    Li, J
    Shum, H
    Zhang, YQ
    [J]. 2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS, 2000, : 21 - 24
  • [9] Neural Scene De-rendering
    Wu, Jiajun
    Tenenbaum, Joshua B.
    Kohli, Pushmeet
    [J]. 30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, : 7035 - 7043
  • [10] Scalable Neural Indoor Scene Rendering
    Wu, Xiuchao
    Xu, Jiamin
    Zhu, Zihan
    Bao, Hujun
    Huang, Qixing
    Tompkin, James
    Xu, Weiwei
    [J]. ACM TRANSACTIONS ON GRAPHICS, 2022, 41 (04):